Communicating data science results effectively

Lecture 23

2024-06-18

Announcements

Make sure your take-home exam can render!
To be extra cautious: render after after starting a new code chunk! Do this every time!
If you aren’t sure how to complete a problem, break it into sub-steps that you do know how to complete.
Reference your AEs!

Review peer evaluations left by your peers, implement updates as you see fit, close the issue once you review them.
Have a clear plan for who is doing what, open issues on your repo, and assign them to individuals who can then close the issues as they finish a task.
Schedule at least one team meting between today and your presentation to practice your presentation together.

Any project questions?

Represent percentages as parts of a whole
Place variables representing time on the x-axis when possible
Pay attention to data types, e.g., represent time as time on a continuous scale, not years as levels of a categorical variable
Prefer direct labeling over legends
Use accessible colors
Use color to draw attention
Pick a purpose and label, color, annotate for that purpose
Communicate your main message directly in the plot labels
Simplify before you call it done (a.k.a. “Before you leave the house, look in the mirror and take one thing off”)